👉 The streaming paradigm, or streaming fluid model, is a framework for describing and analyzing the behavior of complex systems that evolve over time in a continuous and often unpredictable manner. In this model, the system's state is represented as a continuous fluid that flows and changes over time, rather than being composed of discrete particles or fixed points. This approach is particularly useful for modeling phenomena like turbulence, fluid dynamics, and other systems where the interactions between components are non-local and dynamic. By focusing on the fluid's properties such as velocity, pressure, and density, the streaming paradigm captures the essence of these systems' emergent behaviors and complex interactions without needing to explicitly track individual elements, making it a powerful tool in fields like physics, engineering, and data science.
